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智子@第444代目 engagement report

@UF_dynasty - 110K followers on X

Measured over 44 original posts from a 30-day window, last computed on October 11, 2026.

Engagement

Top quarter for its size
Per follower
0.567%
of 110K followers
Per impression
3.58%
17K views on a typical post
Reach
15.9%
of its followers see a post
Typical post
620
interactions (median)
Saved
0.162%
28 bookmarks on a typical post
Posting rate
2/day
active 20% of days
Peak time
05:00 UTC
Wednesday

A typical post picks up 620 interactions against 110K followers, an engagement rate of 0.567%. Measured over 44 original posts, its engagement rate beats 81% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 17K times each, and 3.58% of those impressions turn into an interaction. That is about 15.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 05:00 UTC, and Wednesday is the busiest day of the week. Of the 44 posts sampled, 9% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 21x its own typical post.

Measured over 44 original posts from a 30-day window, last computed on October 11, 2026.

Compared with accounts its own size

智子@第444代目's engagement rate beats 81% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 77% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.567%, 智子@第444代目 sits above the 50th percentile of the 205,676 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.679%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,676 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.679%
90th percentile2.56%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 05:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video2% of posts+111%+108% to +115%34K
Outbound link5% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 2% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 5% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 99 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Oct 11, 202621x their median

    「外国人を採用したら補助金を出す」でなく、 「氷河期世代を採用したら補助金を出す」が正解です。

    12K1.7K565087K viewsView on X
  • Oct 7, 20268.6x their median

    グレートリセット後は、日本は、年金も生活保護も無くなって、ベーシックインカムに一本化。支給額は今の日本円で18~20万円程度。ただし1ヵ月しか使えない電子マネーで貯金不可。食費や光熱費、通信費、日用品代などの使用を想定。「それ以上欲しい人は働いて稼いでね」というプランが走っています。

    4.6K54314647331K viewsView on X
  • Oct 10, 20266.2x their median

    JUST IN: 🇺🇸 President Trump says he may rename the Pacific or Atlantic Ocean to "Trump Ocean." https://t.co/yp2m9OvIBH

    3.1K262332152191K viewsView on X
  • Oct 10, 20264.6x their median

    今日と明日(2026年10月10~11日)は、85%の確率で、世界的に大きな事件が起きると、天啓がありました。 ただし、悪い事ではないようですから、不安にならないでお過ごしください。

    2.6K23540766K viewsView on X
  • Oct 7, 20263.3x their median

    金融悪魔の大まかな計画だと、2026年の年末頃に関東広域を10日から2週間程度停電させるという情報が入っています。災害や戦争で都市を壊滅的に破壊すると、その後暫く使えなくなるので、停電で機能停止させて速やかに制圧する作戦らしいです。ネットに書いたので、多分変更されます。

    1.8K22515561K viewsView on X
  • Oct 5, 20262.6x their median

    露研究所勤務の女性、ペスト感染で死亡か 米も注視 保健当局は「原因不明の肺炎」 https://t.co/hyws97FNsm ロシアの東シベリア・イルクーツク州で2日にペスト対策研究所勤務の20代女性が死亡したことを巡り「ペスト感染が原因」との観測が広がっている。

    980517405794K viewsView on X
  • Oct 11, 20262.5x their median

    以下の移民たちが、日本列島で仲良く共存するのは、今の地球人の民度では、到底無理に感じます。 中国人 韓国人 朝鮮人 ベトナム人 黒人(主にアフリカ系) クルド人 イスラム教徒 その他

    1.3K19334830K viewsView on X
  • Oct 7, 20262.5x their median

    裏世界の噂9 2026年9月26日、T大統領とT総理が電話会談で話したことは「日本側のディープステート勢力も排除しろ!」という内容だという噂です。

    1.4K13912642K viewsView on X
  • Oct 9, 20262.2x their median

    某姫 なんですって! 情報漏洩した企業の株の多くが、事前に空売りされてた? やられた! 智子 まあ、9■■のときも、航空会社の株が大量に空売りされてましたから、よくあることです。

    1.2K1908334K viewsView on X
  • Oct 7, 20262.2x their median

    ロシア発の致〇率100%のアレは、早ければ、今年の12月以降、北海道方面から日本に入って来る可能性があります。注意しないといけませんね。

    1.2K12618878K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 620 interactions against 110K followers, an engagement rate of 0.567%. Measured over 44 original posts, its engagement rate beats 81% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 17K times each, and 3.58% of those impressions turn into an interaction. That is about 15.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 05:00 UTC, and Wednesday is the busiest day of the week. Of the 44 posts sampled, 9% are part of a thread. The account's strongest tracked post pulled 13K interactions, about 21x its own typical post.

What is 智子@第444代目's engagement rate on X?
智子@第444代目 (@UF_dynasty) has an engagement rate of 0.567%, based on the median interactions across 44 original posts from the last 30 days against 109,924 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.567%, 智子@第444代目 sits above the 50th percentile of the 205,676 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @UF_dynasty have real engagement?
Its engagement rate beats 81% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @UF_dynasty post?
Most posts go out around 05:00 UTC, and Wednesday is its busiest day, at roughly 2 posts per day across the measured window.

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